WAVES




Warning : This application is no longer maintained and out of date. If you’re interested in, just have a look to MYST

Summary

WAVES is a web application dedicated to bioinformatic tool integration. It provides an efficient way to implement a service for any bioinformatic software. Such services are automatically made available in three ways: web pages, web forms to include in remote websites, and a RESTful web services API to access remotely from applications. In order to fulfill the service’s computational needs, WAVES can perform computation on various resources and environments, such as Galaxy instances.

Availability and implementation

WAVES was developed with Django, a Python-based web framework. It was designed as a reusable web application. It is fully portable, as only a Python installation is required to run Django. It is licensed under GNU General Public License version 3.

WAVES components

WAVES-core

This is the main WAVES component.

WAVES-Galaxy

This is a WAVES adapter dedicated to Galaxy. Using the BioBlend python library, this adapter enables Galaxy services import into WAVES-core. WAVES-Galaxy automatically recognizes the tools available in a Galaxy instance.

WAVES-demo

This is a custom WAVES instance for demo purpose. It was created to show what could be done with Django functionalities to custom a WAVES installation.

The changes that have been made are:

  • Use a different skin for the back-office interface.
  • Custom front-end interface.
  • Override the Service class.
  • Override the Authentication class.

Please note that anyone can login the back-office administration interface and create new services. Thus, for security reasons, we intentionally deactivated the jobs running procedure.

WAVES Singularity image

This is a Singularity container with a functional WAVES installation including two pre-configured services (‘Hello world’ and ‘PhyML’). For testing purpose.


PhyML

PhyML

Overview: new algorithms, methods and utilities PhyML is a software package that uses modern statistical approaches to build phylogenetic trees from the analysis of alignments of nucleotide or amino acid sequences. The main tool in this package builds phylogenies under the maximum likelihood criterion. It implements a large number of substitution models coupled to efficient…

Phylogenetics Phylogenomics Phylogenetic inference (AI methods) FASTA PHYLIP format
ERaBLE: Evolutionary Rates and Branch Lengths Estimation

ERaBLE: Evolutionary Rates and Branch…

ERaBLE estimates branch lengths and relative gene evolutionary rates from a reference phylogeny and a collection of gene distance matrices. It provides a way to add evolutionary distance information to a topology obtained from a previous phylogenetic analysis. What does ERaBLE do? ERaBLE takes one distance matrix per gene and a tree describing the relationships…

Phylogenomics Phylogenetic analysis Phylogenetic tree Sequence distance matrix newick PHYLIP format
SMS: Smart Model Selection in PhyML

SMS: Smart Model Selection in…

SMS (Smart Model Selection) automatically selects the best-fitting evolutionary model for an alignment of DNA or protein sequences. It compares substitution models using the AIC or BIC statistical criteria to support phylogenetic tree reconstruction with PhyML.

Evolutionary biology Phylogeny DNA substitution modelling DNA substitution model Sequence alignment CSV PHYLIP format